code: def forward(self, inputs: Union[Sequence[Any], Dict[str, Any]]):
      input_dict = dict(zip(self._input, inputs))
      outputs = self._sess.run(self._output, feed_dict=input_dict)
      return outputs
  
file_path: BigDL/python/nano/src/bigdl/nano/deps/neural_compressor/tensorflow/model.py
imports: import os
  from bigdl.nano.utils.common import SafePickle
  import yaml
  from pathlib import Path
  from typing import Sequence, Any, Union, Dict
  from neural_compressor.model.model import TensorflowModel
  from bigdl.nano.utils.common import invalidInputError
  from bigdl.nano.utils.tf import convert_all
  from bigdl.nano.tf.model import KerasOptimizedModel
  from ..core import version
label_desc: Use image node_id 3 for calling the KerasQuantizedModel obj's underlying member method code with example usage: obj.forward(inputs) and returns: outputs